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The impact of treatment and treatment interactions on employment outcomes for individuals with schizophrenia and other severe mental disorders.

机译:精神分裂症和其他严重精神障碍患者的治疗和治疗相互作用对就业结果的影响。

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Hypothesis. The aim of this research is to investigate interactions between vocational rehabilitation and other treatments for patients with schizophrenia in promoting employment outcomes.; Methods. Medical evaluation and maintenance (MEM), psychotherapy (PT), and case management (CM) were the key non-vocational treatment variables selected for this analysis. Regression analysis was used to explore the impact of these treatments and the interaction of these treatments with IPS on employment. In addition, instrumental variables (IV) two-staged least squares regression (2SLS) and bivariate probit models were used to address the potential for endogenous treatment.; Results. The results of the first set of IV models, treating all the treatment variables as endogenous, indicate that PT has a negative impact on employment, CM has a mixed impact on employment, and the interaction of IPS and PT has a negative impact on employment. However, the results indicate that IPS, the interaction of IPS and CM, and the interaction of IPS and MEM can have a positive impact on employment. The results of the second set of IV models, which use the assumption that PT is the only endogenous variable, still indicate that PT has a negative impact on employment, as does the interaction of IPS and PT. In addition, the results of the bivariate probit models that treat PT as endogenous still indicate that PT has a negative impact on employment, and IPS, CM, MEM, the interaction of IPS and PT, and the interaction of IPS and MEM can have a positive impact on employment.; Conclusion. The most potentially useful results from this analysis are from the PT bivariate probit models, which indicate that PT has a negative impact on employment and IPS, CM, and MEM and the interactions of IPS with PT and MEM can each have a positive impact on employment. The reason that the coefficients for PT are consistently negative is not obvious, and negative coefficients for PT seem counter-intuitive. Potential explanations include that the time commitment of repeatedly going to PT treatment sessions interferes with employment, omitted variable bias, and that PT may be detrimental to employment.
机译:假设。这项研究的目的是调查精神分裂症患者的职业康复和其他治疗方法之间的相互作用,以促进就业结果。 方法。医疗评估和维护(MEM),心理治疗(PT)和病例管理(CM)是为此分析选择的关键非职业治疗变量。回归分析用于探讨这些治疗方法的影响以及这些治疗方法与IPS对就业的相互作用。此外,使用工具变量(IV)两阶段最小二乘回归(2SLS)和双变量概率模型来解决内源性治疗的潜力。 结果。第一组IV模型的结果将所有治疗变量均视为内生变量,表明PT对就业有负面影响,CM对就业有混合影响,而IPS和PT的相互作用对就业有负面影响。但是,结果表明,IPS,IPS与CM的交互以及IPS与MEM的交互可以对就业产生积极影响。第二组IV模型的结果使用PT是唯一的内生变量的假设,仍然表明PT对就业有负面影响,IPS和PT的相互作用也是如此。此外,将PT视为内生的双变量概率模型的结果仍表明PT对就业有负面影响,而IPS,CM,MEM,IPS与PT的相互作用以及IPS与MEM的相互作用可能具有一定的负面影响。对就业的积极影响。 结论。该分析最有可能有用的结果来自PT双变量概率模型,该模型表明PT对就业和IPS,CM和MEM均具有负面影响,并且IPS与PT和MEM的相互作用均可以对就业产生积极影响。 PT的系数始终为负的原因并不明显,并且PT的负系数似乎违反直觉。可能的解释包括重复参加PT治疗会议的时间投入会干扰就业,遗漏了可变偏见,并且PT可能对就业有害。

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